Operations | Monitoring | ITSM | DevOps | Cloud

Sysdig is pleased to support AWS today in their GA launch of Bottlerocket, a special-purpose operating system designed for hosting Linux containers. Orchestrated container environments run potentially hundreds of compute nodes. Operating general-purpose Linux on container hosts introduces complexity for IT teams who must patch and update packages across their clusters. Worse, features and packages that are not necessary for running containers, introduce unnecessary security exposure.

In surveys about why organizations adopt Kubernetes, a desire to reduce overall IT costs is an oft-cited reason for adopting containers and Kubernetes. Yet after the fact, when organizations talk about surprises during Kubernetes adoption, many cite increased costs. So does Kubernetes reduce costs or not? Like so many things in life, it depends. Here are some of the reasons Kubernetes projects come in over-budget and how to avoid them.

We are excited to partner with AWS in launching AWS Bottlerocket, a container optimized operating system. Bottlerocket gives DevOps teams speed, efficiency and security in containerized environments.

Metrics help you understand how your business and applications are performing. Longer metric retention enables quarter-over-quarter or year-over-year analysis and reporting, forecasting seasonal trends, retention for compliance, and much more. We recently announced the general availability (GA) of extended metric retention for custom and Prometheus metrics in Cloud Monitoring, increasing retention from 6 weeks to 24 months. Extended retention for custom and Prometheus metrics is enabled by default.

This is part two of our journey towards monitoring Azure resources with SCOM, using the Azure Management pack. In Part 1: Installation, we finished installing the Management Pack and managed to connect one of our subscriptions where the resources we want to monitor are. Now, let’s move on to configuring the monitoring for actual resources or services.

Higher resolution metrics are critical for monitoring dynamically changing environments and rapidly changing application metrics. Examples where high resolution metrics are critical include high volume e-commerce, live streaming, autoscaling bursty workloads on Kubernetes clusters, and more. Higher resolution custom, Prometheus, and agent metrics are now generally available, and can be written at a granularity of 10 seconds. Previously these metric types could only be written once every 60 seconds.

In the midst of the COVID-19 pandemic, many businesses have faced uncertainty regarding the future. While some companies had to close down temporarily, others were able to move toward a remote workforce. By mid-April of 2020, the number of employed adults saying they began working remotely peaked at 62%. While this number will inevitably go down once the pandemic passes, it certainly seems like remote work has become more commonplace.

Whether you are using our Cloud Storage Management software to gain insights into your Azure storage environment, or are just trying to work out how to save costs within Azure, creating a lifecycle management policy is a great idea to help you save in your Azure storage costs.

If you’ve heard of the term “serverless architecture” but you have no idea what it means, don’t feel bad. This buzzword (buzz-phrase?) has been on the rise for the past few years, and it doesn’t look like it’s going to stop. More and more cloud companies are trying to promote serverless architectures for businesses. There are plenty of benefits to using a serverless architecture for your business.

In this post, we’ll review some common InfluxDB Cloud 2.0 errors for beginners. We’ll discuss probable causes as well as recommended fixes. This blog uses the Telegraf System Configuration and data as an example to illustrate the various errors you may encounter. Having some familiarity with this dataset is useful in understanding the issue and the resolution.